Parallel Processing on VLSI Arrays

1. Front Matter

   Pages 1-4

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2. Introduction

   • Josef A. Nossek

   Pages 5-6

3. Numerical Integration of Partial Differential Equations Using Principles of Multidimensional Wave Digital Filters

   • Alfred Fettweis, Gunnar Nitsche

   Pages 7-24

4. Signal Processing Using Cellular Neural Networks

   • L. O. Chua, L. Yang, K. R. Krieg

   Pages 25-51

5. Nonlinear Analog Networks for Image Smoothing and Segmentation

   • A. Lumsdaine, J. L. Wyatt Jr., I. M. Elfadel

   Pages 53-68

6. A Systolic Array for Nonlinear Adaptive Filtering and Pattern Recognition

   • J. G. Mc Whirter, D. S. Broomhead, T. J. Shepherd

   Pages 69-75

7. Control Generation in the Design of Processor Arrays

   • Jürgen Teich, Lothar Thiele

   Pages 77-92

8. A Sorter-Based Architecture for a Parallel Implementation of Communication Intensive Algorithms

   • Josef G. Krammer

   Pages 93-103

9. Feedforward Architectures for Parallel Viterbi Decoding

   • G. Fettweis, H. Meyr

   Pages 105-119

10. Carry-Save Architectures for High-Speed Digital Signal Processing

    • Tobias G. Noll

    Pages 121-140

Guest Editor: JOSEF A. NOSSEK This is a special issue of the Journal of VLSI Signal Processing comprising eight contributions invited for publica­ tion on the basis of novel work presented in a special session on "Parallel Processing on VLSI Arrays" at the International Symposium on Circuits and Systems (ISCAS) held in New Orleans in May 1990. Massive parallelism to cope with high-speed requirements stemming from real-time applications and the restrictions in architectural and circuit design, such as regularity and local connectedness, brought about by the VLSI technology are the key questions addressed in these eight papers. They can be grouped into three subsections elaborating on: • Simulation of continuous physical systems, i. e. , numerically solving partial differential equations. • Neural architectures for image processing and pattern recognition. • Systolic architectures for implementing regular and irregular algorithms in VLSI technology. The paper by A. Fettweis and O. Nitsche advocates a signal processing approach for the numerical integration of partial differential equations (PD Es). It is based on the principles of multidimensional wave digital filters (MDWDFs) thereby preserving the passivity of energy dissipating physical systems. It is particularly suited for systems ofPDEs involving time and finite propagation speed. The basic ideas are explained using Maxwell's equa­ tions as a vehicle for the derivation of a multidimensional equivalent circuit representing the spatially infinitely extended arrangement with only very few circuit elements.

• Adaptive Filter
• Maxwell
• Signal
• VLSI
• algorithms
• analog
• communication
• filters
• image processing
• network
• pattern recognition
• processor
• signal processing
• simulation
• wave

• Technical University of Munich, Germany

  Josef A. Nossek

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